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2020 – today
- 2024
[j9]Daniel Wolf
, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance. Comput. Biol. Medicine 183: 109242 (2024)- [j8]Philipp Lechner, Christoph Hartmann, Daniel Wolf, Abdelrahman Habiba:
Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis. J. Intell. Manuf. 35(6): 2645-2652 (2024) - [c9]Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. Bildverarbeitung für die Medizin 2024: 157 - 2023
- [i4]Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Timo Ropinski, Michael Götz:
Dealing with Small Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencoder Methods for Convolutional Models. CoRR abs/2308.06534 (2023) - 2020
- [j7]Daniel Wolf:
Multidimensional exact Classes, smooth Approximation and Bounded 4-Types. J. Symb. Log. 85(4): 1305-1341 (2020) - [j6]Markus Bajones, David Fischinger, Astrid Weiss, Paloma de la Puente, Daniel Wolf, Markus Vincze, Tobias Körtner, Markus Weninger, Konstantinos E. Papoutsakis, Damien Michel, Ammar Qammaz, Paschalis Panteleris, Michalis Foukarakis, Ilia Adami, Danae Ioannidi, Asterios Leonidis, Margherita Antona, Antonis A. Argyros, Peter Mayer, Paul Panek, Håkan Eftring, Susanne Frennert:
Results of Field Trials with a Mobile Service Robot for Older Adults in 16 Private Households. ACM Trans. Hum. Robot Interact. 9(2): 10:1-10:27 (2020) - [c8]Jan Strohbeck, Vasileios Belagiannis, Johannes Müller, Marcel Schreiber, Martin Herrmann, Daniel Wolf, Michael Buchholz:
Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks. IROS 2020: 1992-1998 - [i3]Yannik Löhr, Daniel Wolf, Clemens Pollerberg, Alexander Hörsting, Martin Mönnigmann:
Supervisory model predictive control for PV battery and heat pump system with phase change slurry thermal storage. CoRR abs/2003.11990 (2020)
2010 – 2019
- 2019
- [j5]Paloma de la Puente, David Fischinger, Markus Bajones, Daniel Wolf, Markus Vincze:
Grasping Objects From the Floor in Assistive Robotics: Real World Implications and Lessons Learned. IEEE Access 7: 123725-123735 (2019) - [j4]Paloma de la Puente, Markus Bajones, Christian Reuther, Daniel Wolf, David Fischinger, Markus Vincze:
Robot Navigation in Domestic Environments: Experiences Using RGB-D Sensors in Real Homes. J. Intell. Robotic Syst. 94(2): 455-470 (2019) - [c7]Timo Korthals, Daniel Wolf, Daniel Rudolph, Marc Hesse, Ulrich Rückert:
Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform. ECMR 2019: 1-6 - 2018
- [j3]Markus Bajones, David Fischinger, Astrid Weiss, Daniel Wolf, Markus Vincze, Paloma de la Puente, Tobias Körtner, Markus Weninger, Konstantinos E. Papoutsakis, Damien Michel, Ammar Qammaz, Paschalis Panteleris, Michalis Foukarakis, Ilia Adami, Danai Ioannidi, Asterios Leonidis, Margherita Antona, Antonis A. Argyros, Peter Mayer, Paul Panek, Håkan Eftring, Susanne Frennert:
Hobbit: Providing Fall Detection and Prevention for the Elderly in the Real World. J. Robotics 2018: 1754657:1-1754657:20 (2018) - [c6]Morris Antonello, Daniel Wolf, Johann Prankl, Stefano Ghidoni, Emanuele Menegatti, Markus Vincze:
Multi-View 3D Entangled Forest for Semantic Segmentation and Mapping. ICRA 2018: 1855-1862 - 2016
- [j2]Daniel Wolf, Johann Prankl, Markus Vincze:
Enhancing Semantic Segmentation for Robotics: The Power of 3-D Entangled Forests. IEEE Robotics Autom. Lett. 1(1): 49-56 (2016) - [c5]Markus Vincze, Markus Bajones, Markus Suchi, Daniel Wolf, Astrid Weiss, David Fischinger, Paloma de la Puente:
Learning and Detecting Objects with a Mobile Robot to Assist Older Adults in Their Homes. ECCV Workshops (2) 2016: 316-330 - 2015
- [c4]Daniel Wolf, Johann Prankl, Markus Vincze:
Fast semantic segmentation of 3D point clouds using a dense CRF with learned parameters. ICRA 2015: 4867-4873 - [i2]Markus Bajones, Daniel Wolf, Johann Prankl, Markus Vincze:
Where to look first? Behaviour control for fetch-and-carry missions of service robots. CoRR abs/1510.01554 (2015) - 2014
- [c3]Paloma de la Puente, Markus Bajones, Peter Einramhof, Daniel Wolf, David Fischinger, Markus Vincze:
RGB-D sensor setup for multiple tasks of home robots and experimental results. IROS 2014: 2587-2594 - [i1]Daniel Wolf, Markus Bajones, Johann Prankl, Markus Vincze:
Find my mug: Efficient object search with a mobile robot using semantic segmentation. CoRR abs/1404.5765 (2014) - 2013
- [c2]Martin Hofmann, Daniel Wolf, Gerhard Rigoll:
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking. CVPR 2013: 3650-3657 - 2011
- [c1]Martin Hofmann, Daniel Wolf, Gerhard Rigoll:
Identification and Reconstruction of Complete Gait Cycles for Person Identification in Crowded Scenes. VISAPP 2011: 594-597
1980 – 1989
- 1983
- [j1]Daniel Wolf:
Roterm: a Microprocessor Based Cipher terminal System. Cryptologia 7(4): 359-370 (1983)
Coauthor Index
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